Machine_learning_CodeANDResults
收藏DataONE2015-09-21 更新2024-06-27 收录
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资源简介：
To perform machine learning analysis to predict genes in the repressed and not-repressed categories, we wrote Python and Java codes to partition our dataset into 10 parts to perform feature selection and 10-fold cross validation classification utilizing the Weka machine learning software. The folder includes the codes used in this analysis and raw results that are summarized in the main text. For further description, a readme file is provided under WekaCode folder.
创建时间：
2015-09-21
